Jiachen Li
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 254 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 62 citations into it; #20,887 of 21,575 by trust here, #12,992 by citations
- Artificial Intelligence — 52 citations into it; #34,423 of 35,345 by trust here, #19,439 by citations
- Model Architectures — 20 citations into it
- Natural Language Processing — 12 citations into it
- Optimization & Training — 9 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Jiachen Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Yann LeCun
- Yoshua Bengio
- Diederik P. Kingma
- Andrew Zisserman
- Ilya Sutskever
- X. Zhang
Who trusts Jiachen Li overall
Papers from Jiachen Li's perspective
Ordered by how strongly the researchers Jiachen Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Weakly Supervised Scene Parsing with Point-based Distance Metric Learning (2018) — 83 citations
- Escaping the Big Data Paradigm with Compact Transformers (2021) — 585 citations